MSc Data Science for Artificial Intelligence

Course overview

This MSc is designed for students who want to specialise in data science, artificial intelligence and machine learning. The course combines data analysis with practical AI applications including: • Machine learning • Artificial intelligence • Computer vision • Cloud computing • Generative AI • Large Language Models (LLMs) • Data analytics and visualisation • Programming for AI • Big-data applications • Practical data-science projects It is suitable not only for Computer Science/Mathematics/Statistics graduates but also graduates from areas such as health, finance, agriculture, food science and environmental studies who want to apply AI and data-science techniques to their specialist field. Teaching has a strong practical element, including tutorials and hands-on data-analysis sessions. The MSc also includes a substantial Masters Research Project.

Course details

Degree level

Master's

Duration

1 year

Intake

January 2027

Tuition fee

£20,520 (2026/27)University fee information (opens in a new tab)

Initial deposit

Full year fee

City

Newport, Shropshire

Country

England

Campus

Harper Adams University campus

Official course page

https://www.harper-adams.ac.uk/courses/

About this information

The details on this page have not yet been checked against the official course page by our team. Fees, intakes and requirements can change, so always confirm them on the official course page before you apply.

Not recorded here yet: Pakistan-specific requirements. The official course page is the source for these.

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English Language Requirements

Main English Requirements

Only the tests listed here are shown as accepted for this course.

Entry requirements

General entry requirements

Applicants should normally have one of the following: Route 1 — Bachelor's Degree An Honours degree in an appropriate discipline, including areas such as: • Computer Science • Mathematics • Statistics • Human Health • Finance • Agriculture • Food Science • Environmental Studies • Other relevant/specialised disciplines The degree should demonstrate basic quantitative and mathematical skills. Route 2 — HND / Foundation Degree A good UK HND, Foundation Degree or equivalent in a relevant subject plus at least 2 years of related industrial/professional experience. Route 3 — Graduate Diploma / Certificate A Graduate Diploma or Graduate Certificate in a relevant discipline or equivalent may also be accepted. Important academic requirement Applicants are expected to have some prior quantitative/mathematical ability and interest. Formal techniques are taught during the MSc, but the university expects applicants to have some prior exposure and enthusiasm for these areas.

Scholarships & discounts

£5,000 Vice-Chancellor's International Award (PG)

Pre-CAS interview

Required

Yes — a Pre-CAS / credibility interview is part of the process

Stage

Before the initial deposit is paid

Course modules

The MSc is 180 credits. The current published module information includes: Module · Credits Professional Skills for Data Science · 15 Statistical Analysis for Data Science · 15 Techniques in Machine Learning and Artificial Intelligence · 15 Data Visualisation and Analytics · 15 Big Data and Decision Making – Case Studies · 15 Generative Artificial Intelligence · 15 Cloud Computing · 15 Programming with Artificial Intelligence · 15 Masters Research Project · 60 Total · 180 The university confirms that students begin with Professional Skills for Data Science, followed by Statistical Analysis for Data Science, and that the Masters Research Project is 60 credits. The optional/current module structure can be subject to change.